CNTK - CSE Developer Blog

Sequence Intent Classification Using Hierarchical Attention Networks

Olga Liakhovich March 6, 2018 Mar 6, 2018 03/6/18

Introduction In this code story, we will discuss applications of Hierarchical Attention Neural Networks for sequence classification. In particular, we will use our work the domain of malware detection and classification as a sample application. Malware, or malicious software, refers to harmful computer programs such as viruses, ransomware...

Bird Detection with Azure ML Workbench

Olga Liakhovich October 24, 2017 Oct 24, 2017 10/24/17

Introduction Estimation of population trends, detection of rare species, and impact assessments are important tasks for biologists. Recently, our team had the pleasure of working with Conservation Metrics, a services provider for automated wildlife monitoring, on a project to identify red-legged kittiwakes in photos from game cameras. Our ...

Using Object Detection for Complex Image Classification Scenarios

Ari Bornstein July 31, 2017 Jul 31, 2017 07/31/17

We recently worked with SMART Business, a Ukrainian consulting services company, along with their partner, a large manufacturer of confectionery products in Central & Eastern Europe, to build a machine learning model which validates whether distributors are stocking chocolates correctly. This code story provides an overview of ...

Classifying Leaks Using Cognitive Toolkit

Michael Lanzetta May 10, 2017 May 10, 2017 05/10/17

Background We recently worked with our partner Sierra Systems on behalf of Pure Technologies, a company that searches for leaks and damage to oil and water pipelines through audio analysis. They accomplish this task by rolling a sensor ball through a pipeline and capturing high-resolution audio data. Previously, they had been using ...

Object Detection Using Microsoft CNTK

Nadav Bar April 10, 2017 Apr 10, 2017 04/10/17

We recently collaborated with InSoundz, an audio-tracking startup, to build an object detection system using Microsoft’s open source deep learning framework, Computational Network Toolkit (CNTK). The Problem InSoundz captures and models 3D audio of live sports events to enhance live video feeds of these events for fans. In order to ...

End to End Object Detection in a Box

Ari Bornstein April 10, 2017 Apr 10, 2017 04/10/17

This code story outlines a new end to end video tagging tool, built on top of the Microsoft Cognitive Toolkit (CNTK), that enables developers to more easily create, review and iterate their own object detection models. Background We recently worked with Insoundz, an Israeli startup that captures sound at live sports events using audio-...

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